Overview
- Teaches how to create graphics in R using ggplot
- Discusses the theoretical framework that underlies ggplot
- Includes supplementary material: sn.pub/extras
Part of the book series: Use R! (USE R)
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About this book
1. 1 Welcome to ggplot2 ggplot2 is an R package for producing statistical, or data, graphics, but it is unlike most other graphics packages because it has a deep underlying grammar. This grammar, based on the Grammar of Graphics (Wilkinson, 2005), is composed of a set of independent components that can be composed in many di?erent ways. This makesggplot2 very powerful, because you are not limited to a set of pre-speci?ed graphics, but you can create new graphics that are precisely tailored for your problem. This may sound overwhelming, but because there is a simple set of core principles and very few special cases, ggplot2 is also easy to learn (although it may take a little time to forget your preconceptions from other graphics tools). Practically,ggplot2 provides beautiful, hassle-free plots, that take care of ?ddly details like drawing legends. The plots can be built up iteratively and edited later. A carefully chosen set of defaults means that most of the time you can produce a publication-quality graphic in seconds, but if you do have special formatting requirements, a comprehensive theming system makes it easy to do what you want. Instead of spending time making your graph look pretty, you can focus on creating a graph that best reveals the messages in your data.
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Table of contents (10 chapters)
Authors and Affiliations
Bibliographic Information
Book Title: ggplot2
Book Subtitle: Elegant Graphics for Data Analysis
Authors: Hadley Wickham
Series Title: Use R!
DOI: https://doi.org/10.1007/978-0-387-98141-3
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag New York 2009
eBook ISBN: 978-0-387-98141-3Published: 03 October 2009
Series ISSN: 2197-5736
Series E-ISSN: 2197-5744
Edition Number: 1
Number of Pages: VIII, 213
Topics: Statistics and Computing/Statistics Programs, Visualization, Computer Graphics